Titan Machinery (TITN) EBITDA (2010 - 2026)
Titan Machinery (TITN) reported EBITDA of $7.19 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 28.7% from $10.08 million a year earlier but up 109.7% from the prior quarter.
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Analysis
Titan Machinery (TITN) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Titan Machinery's EBITDA came in at $28.21 million; for FY2026 (ended Jan 31, 2026), it was $30.85 million, down 27.6% from FY2025.
- EBITDA has a five-year compound annual growth rate of -12.8% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $42.61 million in FY2025 (-78.7%), $200.32 million in FY2024 (+22.5%), $163.52 million in FY2023 (+45.6%) and $112.32 million in FY2022 (+83.8%).
- Five-year quarterly EBITDA spans a low of -$35.88 million in fiscal Q4 2025 and a high of $62.09 million in fiscal Q3 2023.
- Year over year, EBITDA gained in 1 of the last six quarters, with an average decline of 39.8%.
- The high point for year-over-year EBITDA in five years was fiscal Q4 2022 (growth of 178.2%); the low point was fiscal Q1 2026 (a decline of 89.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $3.43 million (Q1 2027), -$2.55 million (Q4 2026) and $20.15 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 873.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 547.30 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 709.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 1.28 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 511.10 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 444.90 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 175.57 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 249.30 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 227.40 Mn |
| 10 | Titan Machinery | 552.39 Mn | 552.39 Mn | 92.40 Mn | 7.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.19 Mn |
| Apr 30, 2026 | 3.43 Mn |
| Jan 31, 2026 | -2.55 Mn |
| Oct 31, 2025 | 20.15 Mn |
| Jul 31, 2025 | 10.08 Mn |
| Apr 30, 2025 | 3.18 Mn |
| Jan 31, 2025 | -35.88 Mn |
| Oct 31, 2024 | 21.73 Mn |
| Jul 31, 2024 | 25.45 Mn |
| Apr 30, 2024 | 31.31 Mn |
| Jan 31, 2024 | 49.32 Mn |
| Oct 31, 2023 | 54.46 Mn |
| Jul 31, 2023 | 52.34 Mn |
| Apr 30, 2023 | 44.21 Mn |
| Jan 31, 2023 | 32.03 Mn |
| Oct 31, 2022 | 62.09 Mn |
| Jul 31, 2022 | 39.63 Mn |
| Apr 30, 2022 | 29.77 Mn |
| Jan 31, 2022 | 35.47 Mn |
| Oct 31, 2021 | 35.27 Mn |
API Access
Titan Machinery EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda&ticker=TITN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "TITN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=TITN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();